CW3E Welcomes Dr. Shuang Yu

September 5, 2025

Dr. Shuang Yu joined CW3E in September 2025 as a Machine Learning Scientist. She earned her Ph.D. in Atmospheric Science from the Institute of Atmospheric Physics, Chinese Academy of Sciences. After completing her doctorate, she worked at IPSL/CNRS in France, focusing on wind energy projections and climate–renewable energy interactions. Most recently, she was a postdoctoral researcher at Lawrence Livermore National Laboratory, where she developed deep learning methods to improve climate model prediction and groundwater applications, leveraging advanced high-performance computing.

Her research lies at the intersection of atmospheric science and artificial intelligence. She has expertise in bias correction and downscaling of climate models, post-processing tools for weather forecasts, explainable AI, and uncertainty quantification. She also investigates climate extremes such as precipitation extremes, heatwaves, and wildfires, emphasizing their predictability, underlying mechanisms, and impacts on human and ecological systems. In addition, she applies AI techniques to integrated modeling of climate, groundwater, and energy systems, including wind energy forecasting and hydrology-driven water security prediction.

In her new role, Shuang will work with CW3E teams to advance AI-driven weather forecasting models and post-processing systems. Her efforts aim to enhance the accuracy and usability of forecasts for high-impact weather and climate events, supporting water and energy security across the western United States.